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README.md

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----
-license: llama3
----
+---
+libray_name: transformers
+pipeline_tag: text-generation
+license: other
+license_name: llama3
+license_link: LICENSE
+language:
+- en
+- ko
+tags:
+- meta
+- llama
+- llama-3
+- akallama
+library_name: transformers
+---
+<a href="https://github.com/">
+  <img src="3de500aklm" width="50%"/>
+</a>
+
+
+# AKALLAMA
+We introduce AKALLAMA-70B, korean focused opensource 70b large language model. 
+It demonstrate considerable improvement in korean fluence, specially compared to base llama 3 model.
+To our knowledge, this is one of the first 70b opensource Korean-speaking language models.
+
+### Model Description
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub.
+
+- **Developed by:** [mirlab](https://mirlab.yonsei.ac.kr/)
+- **Language(s) (NLP):** Korean, English
+- **License:** llama3
+- **Finetuned from model:** [meta-llama/Meta-Llama-3-70B](https://huggingface.co/meta-llama/Meta-Llama-3-70B)
+
+## Evaluation
+
+For local inferencing and evaluation, we highly recommend using the Ollama library. 
+Check _Customize a model section_ of [Ollama github page](https://github.com/ollama/ollama)
+
+## Training Details
+### Training Procedure
+
+We closely followed training procedure of Zephyr ORPO model.
+Please check out Huggingface's [alignment handbook](https://github.com/huggingface/alignment-handbook?tab=readme-ov-file) for further details, including the chat template. 
+
+### Training Data
+
+Detailed descriptions regarding training data will be announced later. 
+
+### Examples
+
+## Thanks to
+
+- A100 클러스터를 제공해주신, 연세대학교 인공지능학과 데이터센터
+- 
+